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sarapv authored Dec 18, 2024
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- {message: 'Dec. 24 | &nbsp; Happy to attend <a class="other" href="https://neurips.cc/">NeurIPS 2024</a> and the <a class="other" href="https://gp-seminar-series.github.io/neurips-2024/">BDU workshop</a> in Vancouver :)', last: '1'}
- {message: 'Oct. 24 | &nbsp; <b style="color:rgba(200,0,200,0.8);"> Accepted paper</b> in the <a class="other" href="https://gp-seminar-series.github.io/neurips-2024/">NeurIPS workshop on Baysian Decision-Making and Uncertainty</a>! Title: <i>Recursive nested filtering for efficient amortized Bayesian experimental design</i>. <a class="paper" href="https://openreview.net/forum?id=D9kVWeBlId">[OpenReview]</a> <a class="paper" href="https://arxiv.org/abs/2409.05354">[arXiv]</a>', last: '1'}
- {message: 'Sep. 24 | &nbsp; Happy to be an <b>invited speaker</b> at the <a class="other" href="https://www.lut.fi/en/events/data-assimilation-workshop">Data Assimilation Workshop 2024</a> in LUT University (Lappeenranta) :)', last: '1'}
- {message: 'Sep. 24 | &nbsp; <b style="color:rgba(200,0,200,0.8);">New arXiv preprint</b>! Title: <i>Recursive nested filtering for efficient amortized Bayesian experimental design</i>. <a class="paper" href="https://arxiv.org/abs/2409.05354">[arXiv]</a>', last: '1'}
- {message: 'June 24 | &nbsp; Joining both the <a class="other" href="https://events.stat.uconn.edu/BAYSM2024/">BAYSM 2024</a> and <a class="other" href="https://www.unive.it/web/en/2208/home">2024 ISBA World meeting</a> next week! I will be giving a <b>talk</b> (29th June) and presenting a <b>poster</b> (5th July) on parameter-space exploration in nested filtering. See you in Venice!', last: '1'}
- {message: 'May 24 | &nbsp; Happy to announce that I am an <b>invited speaker</b> at the <a class="other" href="https://www.icms.org.uk/SMC2024">SMC 2024</a>. See you there! <a class="paper" href="publications/slides/202405_Slides_SMC24-3.pdf">[slides]</a> <a class="paper" href="https://youtu.be/CM45gA4XZ5w?si=ZS4cvR615uHZ18YZ">[video]</a>', last: '1'}
- {message: 'Apr. 24 | &nbsp; <b style="color:rgba(200,0,200,0.8);"> Published paper</b> in <a class="other" href="https://2024.ieeeicassp.org/">ICASSP 2024</a>! Title: <i>End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks</i>. <a class="paper" href="https://doi.org/10.1109/ICASSP48485.2024.10447783">[DOI]</a> <a class="paper" href="publications/papers/Cox24_ICASSP.pdf">[pdf]</a>', last: '1'}
- {message: 'Jan. 24 | &nbsp; Starting a <b>new postdoctoral position</b> in the School of Electrical Engineering, <a class="other" href="https://www.aalto.fi/en">Aalto University</a>!', last: '1'}
- {message: 'Jan. 24 | &nbsp; Glad to serve as <b>reviewer</b> in IEEE Transactions of Signal Processing .', last: '1'}
- {message: 'Jan. 24 | &nbsp; Starting a <b>new postdoctoral position</b> in the School of Electrical Engineering, <a class="other" href="https://www.aalto.fi/en">Aalto University</a>!', last: '0'}
- {message: 'Jan. 24 | &nbsp; Glad to serve as <b>reviewer</b> in IEEE Transactions of Signal Processing .', last: '0'}
- {message: 'Dec. 23 | &nbsp; Happy to attend the workshop in <a class="other" href="https://rss.org.uk/training-events/events/events-2023/sections/gradient-flows-for-sampling,-inference,-and-learni/#eventoverview">Gradient Flows For Sampling, Inference, and Learning</a> at the <a class="other" href="https://rss.org.uk/">Royal Statistical Society</a>.', last: '0'}
- {message: 'Oct. 23 | &nbsp; <b style="color:rgba(200,0,200,0.8);"> Published paper</b> in <a class="other" href="https://www.asilomarsscconf.org/">Asilomar 2023</a>! Title: <i>State and Dynamics Estimation with the Kalman-Langevin filter</i>. <a class="paper" href="https://doi.org/10.1109/IEEECONF59524.2023.10476814">[DOI]</a> <a class="paper" href="publications/papers/Sevilla23_Asilomar.pdf">[pdf]</a>', last: '0'}
- {message: 'June 23 | &nbsp; <b style="color:rgba(0,100,0,0.8);"> Contributed talk</b> at the <a class="other" href="https://mcm2023.sciencesconf.org/">MCM 2023</a>. Title: <i>Adaptive Gaussian nested filter for joint parameter and state estimation in state-space models</i>. <a class="paper" href="publications/slides/Room104_SaraPerezVieites.pdf">[slides]</a>', last: '0'}
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